CSCS Top Right Frontpage
HPCwire

Since 1986 - Covering the Fastest Computers
in the World and the People Who Run Them

Language Flags

Visit additional Tabor Communication Publications

Datanami
Digital Manufacturing Report
HPC in the Cloud
Green Computing Report

Tabor Communications
Corporate Video

PGI Updates OpenCL Compiler for ARM


PORTLAND, Ore., Aug. 21, 2012—The Portland Group (PGI), a wholly-owned subsidiary of STMicroelectronics and the leading independent supplier of compilers and tools for high-performance computing, today announced the release of PGCL 12.7. PGCL is the PGI OpenCL framework for multi-core ARM-based Systems-on-Chips (SoCs), currently available on ST-Ericsson NovaThor™ platforms. PGCL includes a PGI OpenCL compiler for multi-core ARM CPUs as a compute device and complements OpenCL for GPUs.

“This significant update to the PGI OpenCL compiler includes support for several new performance-oriented technologies along with basic debugging support, and reflects our continuing commitment to bring PGI compiler technologies developed in the high-performance computing (HPC) market to the ARM platform,” said Douglas Miles, director, The Portland Group.

New PGCL 12.7 Features

  • Automatic vectorization for the ARM NEON™ general-purpose Single-Instruction Multiple Data (SIMD) engine. NEON technology is a 128-bit SIMD architecture extension for ARM Cortex™-A series CPUs designed to provide acceleration for multimedia and other data-processing intensive applications. NEON instructions perform packed SIMD processing on signed or unsigned 8-bit, 16-bit, 32-bit and 64-bit integer, or single-precision floating-point data types. PGCL now automatically generates NEON instructions for vectorizable loops contained in OpenCL kernel functions and which operate on these data types.
  • Native dynamic OpenCL kernel compilation is now the default on Android ARM devices, enabling deployment of dynamically-compiled OpenCL kernels in production applications for mobile devices. The PGCL OpenCL dynamic compiler now recognizes optimization options including ‑fast (PGI’s default performance optimization option), ‑Msafeptr (enables optimization in the presence of pointers) and ‑Minfo (for displaying compiler optimization feedback to application developers).
  • Support for compiler “pragmas” for local control of optimizations within OpenCL source files.  Optimizations that can be controlled on a loop or function basis include NEON/SIMD vectorization, loop unrolling, dependence checking, safe pointer declarations and other optimization options.  Pragmas are programming language constructs added to source code by programmers to instruct a compiler to process the delineated code blocks in some special manner while maintaining full source code portability to other compilers and platforms.
  • Support for debugging of OpenCL host code and statically-compiled OpenCL kernels on Android/ARM devices using the gdb debugger or print statements.

About PGCL

PGCL is an OpenCL framework for compiling and running OpenCL 1.1 embedded profile applications on the ST-Ericsson NovaThor™ U8500 and follow-on platforms using a single ARM core as the OpenCL host and multiple ARM cores as an OpenCL compute device. The PGI OpenCL framework runs on Linux/x86 compilation host platforms and is integrated with the Android NDK toolchain to generate binary executables for ST-Ericsson NovaThor platforms running the Android operating system. 

About NovaThor Platforms

ST-Ericsson’s NovaThor platforms fully integrate application engines, modems and connectivity chipsets that allow device manufacturers to quickly roll out advanced smartphones and tablets with advanced multimedia capabilities. The NovaThor platform is the first integrated smartphone platform to offer the latest SMP (Symmetric Multi-Processing) dual core technology in a high-performance, low power and cost-optimized package, enabling an immersive multimedia experience for next-generation smartphones. Both cores are identical and can be used independently or combined as one processing engine.

More information on the NovaThor platforms is available from ST-Ericsson at http://www.stericsson.com/products/smartphone-platforms.jsp

About OpenCL

OpenCL is a programming model for heterogenous computing systems comprised of CPUs, GPUs and other computing devices, and has been standardized by Khronos and adopted by a number of CPU and GPU manufacturers including Intel, AMD/ATI, NVIDIA and Imagination Technologies. PGCL is the first OpenCL compiler for Android targeting multi-core ARM processors as an OpenCL compute device. ARM processors power the vast majority of mobile and embedded computing platforms.

PGCL conforms to the OpenCL specification. OpenCL and the OpenCL logo are trademarks of Apple Inc. used with permission by Khronos.

Price and Availability

PGI OpenCL targeting ST-Ericsson NovaThor platforms including code examples and  sample Dalvik applications is freely available by registering on The Portland Group website at www.pgroup.com/pgcl.

About The Portland Group

The Portland Group, a wholly-owned subsidiary of STMicroelectronics, is the premier supplier of high-performance parallel Fortran, C, and C++ compilers and tools for workstations, servers, and clusters based on x64 processors from Intel and AMD, and GPUs accelerators from NVIDIA. PGI also develops products for ST and ST-Ericsson embedded processors. Further information on The Portland Group products can be found at www.pgroup.com, by calling Sales at (503) 682-2806, or by email to sales@pgroup.com.

-----

Source: The Portland Group

Sponsored Links

Accelerate your science with Seneca
One of the first HPC providers installing a 4X NVIDIA Kepler K-20 cluster. Invites you to a free evaluation on Seneca’s NVIDIA K20 Kepler cluster, pre-loaded with AMBER, NAMD, LAMMPS

Webinar: Programming Heterogeneous X64+GPU Systems Using OpenACC
Join Michael Wolfe as he compares the advantages and costs of using both low-level models and the directive-based OpenACC model for programming accelerated heterogeneous systems. Registration is free.

High-Performance Computing in Action
Businesses that want to be on the cutting edge of their industries are increasingly turning to high-performance computing (HPC) solutions to handle complex compute processes and speed up their rate of innovation. Download this Executive Brief to see how businesses in energy, life sciences and entertainment put HPC solutions to work in their operations.

May 21, 2013

May 20, 2013

May 17, 2013

May 16, 2013

May 15, 2013

May 14, 2013

May 13, 2013

May 10, 2013

May 09, 2013

May 08, 2013


Most Read Features

Most Read Around the Web

Most Read This Just In


Feature Articles

CERN, Google Drive Future of Global Science Initiatives

Large-scale, worldwide scientific initiatives rely on some cloud-based system to both coordinate efforts and manage computational efforts at peak times that cannot be contained within the combined in-house HPC resources. Last week at Google I/O, Brookhaven National Lab’s Sergey Panitkin discussed the role of the Google Compute Engine in providing computational support to ATLAS, a detector of high-energy particles at the Large Hadron Collider (LHC).
Read more...

Saddling Phi for TACC’s Stampede

The Xeon Phi coprocessor might be the new kid on the high performance block, but out of all first-rate kickers of the Intel tires, the Texas Advanced Computing Center (TACC) got the first real jab with its new top ten Stampede system.We talk with the center's Karl Schultz about the challenges of programming for Phi--but more specifically, the optimization...
Read more...

"No Exascale for You!" An Interview with Berkeley Lab's Horst Simon

Although Horst Simon was named Deputy Director of Lawrence Berkeley National Laboratory, he maintains his strong ties to the scientific computing community as an editor of the TOP500 list and as an invited speaker at conferences.
Read more...

Short Takes

Running Computational Fluid Dynamics in the Cloud

May 16, 2013 | When it comes to cloud, long distances mean unacceptably high latencies. Researchers from the University of Bonn in Germany examined those latency issues of doing CFD modeling in the cloud by utilizing a common CFD and its utilization in HPC instance types including both CPU and GPU cores of Amazon EC2.
Read more...

Computing the Physics of Bubbles

May 15, 2013 | Supercomputers at the Department of Energy’s National Energy Research Scientific Computing Center (NERSC) have worked on important computational problems such as collapse of the atomic state, the optimization of chemical catalysts, and now modeling popping bubbles.
Read more...

Internet2 Awards Program Seeks Innovative Applications

May 10, 2013 | Program provides cash awards up to $10,000 for the best open-source end-user applications deployed on 100G network.
Read more...

Floating Funding to Exascale Island

May 09, 2013 | The Japanese government has revealed its plans to best its previous K Computer efforts with what they hope will be the first exascale system...
Read more...

HPC and the True Cost of Cloud

May 08, 2013 | For engineers looking to leverage high-performance computing, the accessibility of a cloud-based approach is a powerful draw, but there are costs that may not be readily apparent.
Read more...

Sponsored Whitepapers

Best Practices in Big Data Storage

05/10/2013 | Cleversafe, Cray, DDN, NetApp, & Panasas | From Wall Street to Hollywood, drug discovery to homeland security, companies and organizations of all sizes and stripes are coming face to face with the challenges – and opportunities – afforded by Big Data. Before anyone can utilize these extraordinary data repositories, however, they must first harness and manage their data stores, and do so utilizing technologies that underscore affordability, security, and scalability.

Progress in Parallel: the Bull Parallel Programming Center

04/15/2013 | Bull | “50% of HPC users say their largest jobs scale to 120 cores or less.” How about yours? Are your codes ready to take advantage of today’s and tomorrow’s ultra-parallel HPC systems? Download this White Paper by Analysts Intersect360 Research to see what Bull and Intel’s Center for Excellence in Parallel Programming can do for your codes.

Sponsored Multimedia

SGI DMF ZeroWatt Disk Solution

In this demonstration of SGI DMF ZeroWatt disk solution, Dr. Eng Lim Goh, SGI CTO, discusses a function of SGI DMF software to reduce costs and power consumption in an exascale (Big Data) storage datacenter.

Cray CS300-AC Cluster Supercomputer Air Cooling Technology Video

The Cray CS300-AC cluster supercomputer offers energy efficient, air-cooled design based on modular, industry-standard platforms featuring the latest processor and network technologies and a wide range of datacenter cooling requirements.

SC12 Editorial Feature HPCwire Soundbite sponsored by ISC

HPC Job Bank


Featured Events


  • June 16, 2013 - June 20, 2013
    ISC'13
    Leipzig,
    Germany

  • June 17, 2013 - June 18, 2013
    Forecast 2013
    San Francisco, CA
    United States





HPCwire Events